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DoseFinding vs rstantools

A side-by-side editorial comparison of DoseFinding and rstantools — release velocity, themes, recent moves, and the top alternatives to consider.

DoseFinding vs rstantools: at a glance

FeatureDoseFindingrstantools
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesdose-response, mcp-mod, clinical-trials, model-averagingstan, bayesian, r-package, build-tooling
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is DoseFinding?

New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing

DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.

Read the full DoseFinding trajectory →

What is rstantools?

The scaffolding layer for Stan-backed R packages, maintained rather than extended.

rstantools generates and maintains the build infrastructure that lets an R package ship Stan models — the inst/stan layout, the auto-generated C++, the Rcpp module loading, and the posterior_* generics downstream packages implement. Its releases are dominated by keeping that scaffolding compiling as Stan, StanHeaders, and rstan move underneath it. Version 2.7.0 continues that pattern, its one user-facing change being an allowance for deprecated syntax in specified versions of specified packages.

Read the full rstantools trajectory →

DoseFinding vs rstantools: editorial side-by-side

D
DoseFinding
ANALYTICS
0.0

New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing

◆ Current state

DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.

◆ Where it's heading

The pattern before the handover was maintenance — R-devel compliance, a bug fix, a link. After it, each release carries a named methodological addition with an acknowledged contributor, plus documentation to match: a longitudinal analysis vignette shipped alongside the interim power work. Housekeeping continues underneath, mostly clearing deprecated ggplot2 interfaces, aes_string in one release and qplot in the next.

◆ Prediction

Given the last two releases each added one method with a supporting vignette, expect the next to follow the same shape. Both additions so far extend the package beyond fixed dose-response fitting, so adaptive and interim methodology is the more likely direction.

R
rstantools
ANALYTICS
2.5

The scaffolding layer for Stan-backed R packages, maintained rather than extended.

◆ Current state

rstantools generates and maintains the build infrastructure that lets an R package ship Stan models — the inst/stan layout, the auto-generated C++, the Rcpp module loading, and the posterior_* generics downstream packages implement. Its releases are dominated by keeping that scaffolding compiling as Stan, StanHeaders, and rstan move underneath it. Version 2.7.0 continues that pattern, its one user-facing change being an allowance for deprecated syntax in specified versions of specified packages.

◆ Where it's heading

This is a stable dependency in maintenance mode, and the release history reads accordingly: compatibility shims for new rstan and Stan RNG versions, C++ standard bumps, and pkgdown housekeeping. The last substantive API growth was 2.5.0's loo_epred() generic and discrete-data loo_pit(). Contributor churn is visible in recent releases, with several first-time contributors handling infrastructure rather than statistics.

◆ Prediction

Expect the next releases to continue tracking Stan and rstan breakage as it arrives; nothing in the recent entries points to new generics or a change in the package-generation model.

Alternatives to DoseFinding and rstantools

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either DoseFinding or rstantools.

See all DoseFinding alternatives → · See all rstantools alternatives →

Recent activity from DoseFinding and rstantools

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 19d agorstantoolsDeprecated syntax allowed for pinned package versions
  2. 7mo agorstantoolspkgdown theme refresh, C++14 dropped from SystemRequirements
  3. 11mo agorstantoolsloo_epred() generic added, loo_pit() extended to discrete data
  4. 1y agoDoseFindingConditional and predictive power for interim analyses
  5. 1y agoDoseFindingModel averaging arrives for dose-response fitting
  6. 1y agoDoseFindingPackage moves to openpharma under new maintainership
  7. 2y agorstantoolsStandalone Stan functions fixed for rstan 2.33+
  8. 2y agoDoseFindingCompliance update for R-devel
  9. 3y agoDoseFindingpowMCTBinCount bug fix
  10. 3y agorstantoolsinit_cpp deprecated, standalone-function bugfix under Stan 2.31
  11. 3y agorstantoolsC++17 standard adopted, standalone function export reworked

Frequently asked questions

What is the difference between DoseFinding and rstantools?

They serve adjacent needs but don't currently overlap on shipped themes. rstantools is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is DoseFinding better than rstantools?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstantools is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to DoseFinding?

Top DoseFinding alternatives in Analytics are ranked by recent ship velocity. Browse the "DoseFinding alternatives" section above for the current picks, or visit /alternatives/dosefinding for the full list with editorial commentary on each.

What are the best alternatives to rstantools?

Top rstantools alternatives in Analytics are ranked by recent ship velocity. Browse the "rstantools alternatives" section above for the current picks, or visit /alternatives/rstantools for the full list with editorial commentary on each.